Parametric and nonparametric tests Flashcards

1
Q

What are parametric tests?

A

They are used when you can assume the data is normal.

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2
Q

What are non-parametric tests?

A

Make no assumptions about the distribution

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3
Q

What do we assume if we are using a parametric test?

A
  • Normality
  • Homogeneity of variance
  • Linearity
  • Independence
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4
Q

Which tests do we use to test normality?

A

Shapiro wilk

Smirnovv - large samples

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5
Q

What number indicates that the kurtosis is of normal distribution?

A

3 - Mesokurtic

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6
Q

What is the term for negative kurtosis?

A

Platykurtic

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7
Q

What is the term for positive kurtosis?

A

Leptokurtic

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8
Q

What can you assume if skewness is between -1 and +1?

A

Normality in data

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9
Q

When performing a Shapiro-Wilk to test normality, what P-value are you expecting for normality?

A

P > 0.05 - opposite to normal significance

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10
Q

If S-W test gives you a P > 0.05 outcome, what test would you use?

A

Parametric test as data is normal

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11
Q

If S-W test gives you a P < 0.05 outcome, what test would you use?

A

Non-parametric test as data is not normal

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12
Q

When do we use the Kolmogorov-Smirnov test?

A

If number in sample is greater than 2000

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13
Q

How do we test for equal variance?

A

Levenes test

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14
Q

How do we know if samples have equal variance?

A

P > 0.05 - opposite to normal significance

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